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Field
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling
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, such as R, Python, or Machine Learning, to identify patterns in biological factors, disease and mortality; co-supervising and mentoring PhD candidates, MSc and BSc students; collaborating with national and
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collaboration with programme managers, sales colleagues, the Corporate & Alumni Relations department (CAR) and the RSM Dean of Engagement & Partnerships to ensure the delivery of excellent high-quality programmes
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are written in English and include a Cover Letter indicating the motivation for the project (which includes a vision on computational education); • An updated CV, including a list of publications; • A
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to learn is essential. What You Bring We are seeking an experienced technician, ideally with a PhD or equivalent expertise, who: Has high proficiency in English (Dutch is not required). Has hands
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Master’s programme offerings. The candidate will be expected to teach across several programmes in the Institute, notably the Master’s programme Crisis and Security Management, the Bachelor programme
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we optimize the synthetic genome that encodes for a biological
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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includes a vision on computational education); An updated CV, including a list of publications; A copy of your PhD thesis; A copy of your PhD degree; Contact details of two references, including names